# BSD 3-Clause License
#
# Copyright (c) 2017 xxxx
# All rights reserved.
# Copyright 2021 Huawei Technologies Co., Ltd
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source code must retain the above copyright notice, this
#   list of conditions and the following disclaimer.
#
# * Redistributions in binary form must reproduce the above copyright notice,
#   this list of conditions and the following disclaimer in the documentation
#   and/or other materials provided with the distribution.
#
# * Neither the name of the copyright holder nor the names of its
#   contributors may be used to endorse or promote products derived from
#   this software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
# FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
# DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
# SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
# CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
# OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
# ============================================================================
from argparse import ArgumentParser

import mmcv

from mmseg.apis import inference_segmentor, init_segmentor, show_result_pyplot
from mmseg.core.evaluation import get_palette

def get_raw_data():
    from PIL import Image
    from urllib.request import urlretrieve
    IMAGE_URL = 'https://bbs-img.huaweicloud.com/blogs/img/thumb/1591951315139_8989_1363.png'
    urlretrieve(IMAGE_URL, 'tmp.jpg')


def main():
    parser = ArgumentParser()
    parser.add_argument('--img', default='munster_000139_000019_leftImg8bit.png', help='Image file')
    parser.add_argument('--config', default='./configs/SETR/SETR_Naive_768x768_40k_cityscapes_npu.py', help='Config file')
    parser.add_argument('--checkpoint', default='', help='Checkpoint file')
    parser.add_argument(
        '--device', default='npu:0', help='Device used for inference')
    parser.add_argument(
        '--palette',
        default='voc',
        help='Color palette used for segmentation map')
    args = parser.parse_args()

    # build the model from a config file and a checkpoint file
    model = init_segmentor(args.config, args.checkpoint, device=args.device)
    # test a single image
    result = inference_segmentor(model, args.img)
    # show the results
    # if hasattr(model, 'module'):
    #     model = model.module
    # model.show_result(args.img, result, palette=args.palette, out_file="result_"+args.img,show=False)
    prediction = show_result_pyplot(model, args.img, result, get_palette(args.palette))
    mmcv.imwrite(prediction, "result_"+args.img)



if __name__ == '__main__':
    main()